Author: Kaushik Dilipbhai Anghan
Anghan, Kaushik Dilipbhai, 2024 The effect of different electric vehicle proportion uptake on different intersections, Flinders University, College of Science and Engineering
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Electric vehicle (EV) adoption is increasing, which presents both advantages and challenges for urban transportation systems. An important place for EV adoption in transportation networks is at intersections. This study examines how different electric vehicle (EV) usage percentages impact different intersection types while considering factors like traffic volume, congestion, energy use, and environmental effects. Investigating how different levels of EV penetration affect intersection performance and sustainability, the study combines actual research with simulation modelling with tools such as SIDRA and Aimsun.
This article highlights a variety of information on the relationship between electric vehicles (EVs) and urban transportation systems, based on a thorough literature assessment to highlight the complex connections between EV adoption rates, traffic behaviour, and infrastructure requirements. The study wants to provide important insights into the possible advantages and difficulties related to the increasing number of EVs at intersections using the analysis of data from real-world traffic scenarios and the performance of scenario-based simulations.
The results of this study add to our knowledge of how EV adoption could impact traffic patterns and urban mobility. The results indicate that increasing the percentage of electric vehicles (EVs) at intersections can result in lower emissions and energy usage, particularly when paired with renewable energy sources for the infrastructure required for charging.
The project explores various methods for optimising intersection processes in response to different levels of EV uptake using considerable analysis and different scenario. This includes evaluating how effectively traffic method, intersection design, and different phasing and timing work to accept EVs while maintaining smooth traffic flow and reducing congestion.
Keywords: Electric vehicle; intersection; energy; environment effect; traffic signal control: electric vehicle effects; economic; travel time; queue length; crash safety.
Subject: Engineering thesis
Thesis type: Masters
Completed: 2024
School: College of Science and Engineering
Supervisor: Nicholas Holyoak